DPP Tech
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown" and a pay rate of "unknown," based in Pleasanton, CA. Key skills include ETL, deployment, and data quality. Experience in retail and recommender systems is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Pleasanton, CA
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🧠 - Skills detailed
#Consulting #Data Science #Data Quality #Deployment #"ETL (Extract #Transform #Load)"
Role description
DPP Tech is a technology consulting and staffing services company based in the San Francisco Bay Area. We offer benefits, including 401K, sick leave, and medical insurance, and provide direct payroll deposits.
We are hiring a Data Scientist Lead for a large retail client in Pleasanton, CA. This is an onsite opportunity, candidates need to be in office 4days/ week. Only W2 candidates no Third Party.
Responsibilities
• Understand the frameworks used currently in terms of recommender system pipelines
• Come up with ways to improve the current algorithms and pipelines, responsible for the end-to-end testing of the algorithm along with collaborating with the MLOps team to see the model through
• Dataset Gathering - Collect Data
• Transformer Architecture - 1. Customer Sequence Modeling, 2. Multi Modal and Variable Length Inputs
• Offline Model - 1. Build Offline Model, 2. Hyperparameter Tuning
• Build Online Inference Path - 1. Combine Offline with real time session features
• Data Quality - 1. Deployment, 2. Success Metric Improvement
If you are interested please share resume and contact details.
DPP Tech is a technology consulting and staffing services company based in the San Francisco Bay Area. We offer benefits, including 401K, sick leave, and medical insurance, and provide direct payroll deposits.
We are hiring a Data Scientist Lead for a large retail client in Pleasanton, CA. This is an onsite opportunity, candidates need to be in office 4days/ week. Only W2 candidates no Third Party.
Responsibilities
• Understand the frameworks used currently in terms of recommender system pipelines
• Come up with ways to improve the current algorithms and pipelines, responsible for the end-to-end testing of the algorithm along with collaborating with the MLOps team to see the model through
• Dataset Gathering - Collect Data
• Transformer Architecture - 1. Customer Sequence Modeling, 2. Multi Modal and Variable Length Inputs
• Offline Model - 1. Build Offline Model, 2. Hyperparameter Tuning
• Build Online Inference Path - 1. Combine Offline with real time session features
• Data Quality - 1. Deployment, 2. Success Metric Improvement
If you are interested please share resume and contact details.
